1. GenAI Roadmap

playlist :: GenAI campusX
Tage :: GenAI

Generative AI is a type of artificial intelligence that create new content - such as text, images, music or code by learning patterns from existing data, mimicking human creativity.

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Major GenAI impact areas

  1. Customer support
  2. Content Creation
  3. Education
  4. Software Development

Foundation Model

it is the Generalize model which is very big or large scale model, we have to have huge amount of data, GPUs and money to train it. e.g chatgpt, Llama, it also has LMMs (large multimodel models)

The foundation model has further two categories

  1. User perspective (We use already build foundation Model.)
  2. Builder Perspective (where we make foundation model and use it)
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so here are some User and Builders perspective:

User Perspective Builder Perspective
Prompt Engineering RLHF
RAG pretraining
Ai Agent Quantization
Vector Database Fine tuning
Fine Tuning

Builder Perspective

the steps we follow to build a foundation model

  1. Transformer architecture
  2. Types of Transformers
  3. pretraining
  4. optimization
  5. Fine tuning
  6. Evaluation
  7. Deployment
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Users Perspective

the steps we follow to Use or buld a application from foundation model

  1. Bulding Basic LLM Apps
  2. Prompt Engineering
  3. RAG
  4. Fine Tuning
  5. Agents
  6. LLMOps
  7. Miscelaneous (using multimodels, audio models etc)

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famous domain AI engineer
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